Our Technology | Dragonfruit AI

Dragonfruit AI Technology

Dragonfruit AI brings together advanced video intelligence and modern video management to help you see, understand, and act on what’s happening across your operations—in real time.

Powered by our patented Split AI™ architecture, the platform combines edge and cloud processing to deliver fast, scalable insights without heavy infrastructure or complexity.

Turn video into operational intelligence

Dragonfruit transforms your existing camera feeds into structured, searchable data—enabling cross-camera tracking, pattern detection, and real-time analysis across locations.

It works seamlessly with your existing NVR or VMS and is designed to operate without collecting personally identifiable information (PII).

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Built for flexibility, scale, and efficiency

Customizable

From investigations to occupancy insights and beyond, Dragonfruit adapts to your needs. Deploy only what you need, with configurations tailored to your environment and infrastructure.

Scalable

An à la carte platform that lets you activate AI applications as needed—scaling usage across sites, use cases, and time without disruption.

Cost-efficient

Built on existing camera infrastructure and low-cost edge compute, Dragonfruit minimizes hardware overhead while delivering measurable cost savings across operations.

Edge + Cloud Architecture

Powered by Split AI™

Dragonfruit’s patented Split AI™ architecture distributes processing between on-site edge compute and the cloud—optimizing performance, bandwidth, and speed.

AI processing runs locally on an Apple Mac mini for real-time insights, while the cloud enables centralized management, search, and long-term analysis.

Platform Ecosystem

Innovation You Can Trust

Dragonfruit’s patented technology reflects a continued focus on building efficient, scalable video intelligence systems designed for real-world deployments, without unnecessary complexity or cost.

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Join organizations already using Dragonfruit AI to transform operations and improve outcomes.

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